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Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

10 December 2021
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications"

4 / 4 papers shown
Title
Phikon-v2, A large and public feature extractor for biomarker prediction
Phikon-v2, A large and public feature extractor for biomarker prediction
Alexandre Filiot
Paul Jacob
Alice Mac Kain
Charlie Saillard
MedIm
34
17
0
13 Sep 2024
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
15
56
0
18 Aug 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,599
0
19 Feb 2017
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